PUPS: Point Cloud Unified Panoptic Segmentation

no code implementations • 13 Feb 2023 • Shihao Su, Jianyun Xu, Huanyu Wang, Zhenwei Miao, Xin Zhan, Dayang Hao, Xi Li

Point cloud panoptic segmentation is a challenging task that seeks a holistic solution for both semantic and instance segmentation to predict groupings of coherent points.

Instance Segmentation Panoptic Segmentation

D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image Generation

no code implementations • 12 May 2022 • Xintian Wu, Huanyu Wang, Yiming Wu, Xi Li

To transfer knowledge between discriminators, we design a multi-level discriminant knowledge distillation from the source discriminator to the target discriminator on both the real and fake samples.

Image Generation Knowledge Distillation +1

F3A-GAN: Facial Flow for Face Animation with Generative Adversarial Networks

no code implementations • 12 May 2022 • Xintian Wu, Qihang Zhang, Yiming Wu, Huanyu Wang, Songyuan Li, Lingyun Sun, Xi Li

Formulated as a conditional generation problem, face animation aims at synthesizing continuous face images from a single source image driven by a set of conditional face motion.

Compressing Models with Few Samples: Mimicking then Replacing

1 code implementation • CVPR 2022 • Huanyu Wang, Junjie Liu, Xin Ma, Yang Yong, Zhenhua Chai, Jianxin Wu

Hence, previous methods optimize the compressed model layer-by-layer and try to make every layer have the same outputs as the corresponding layer in the teacher model, which is cumbersome.

Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion

1 code implementation • CVPR 2021 • Peng Sun, Wenhu Zhang, Huanyu Wang, Songyuan Li, Xi Li

In principle, the feature modeling scheme is carried out in a depth-sensitive attention module, which leads to the RGB feature enhancement as well as the background distraction reduction by capturing the depth geometry prior.

object-detection RGB-D Salient Object Detection +2

Mixup Without Hesitation

1 code implementation • 12 Jan 2021 • Hao Yu, Huanyu Wang, Jianxin Wu

In this paper, we find that mixup constantly explores the representation space, and inspired by the exploration-exploitation dilemma in reinforcement learning, we propose mixup Without hesitation (mWh), a concise, effective, and easy-to-use training algorithm.

Data Augmentation Image Classification +2

RDI-Net: Relational Dynamic Inference Networks

1 code implementation • ICCV 2021 • Huanyu Wang, Songyuan Li, Shihao Su, Zequn Qin, Xi Li

In this paper, we model the relations for dynamic inference from two aspects: the routers and the samples.

CoDiNet: Path Distribution Modeling with Consistency and Diversity for Dynamic Routing

1 code implementation • 29 May 2020 • Huanyu Wang, Zequn Qin, Songyuan Li, Xi Li

In this paper, we see dynamic routing networks in a fresh light, formulating a routing method as a mapping from a sample space to a routing space.

Model Compression

Ultra Fast Structure-aware Deep Lane Detection

7 code implementations • ECCV 2020 • Zequn Qin, Huanyu Wang, Xi Li

Modern methods mainly regard lane detection as a problem of pixel-wise segmentation, which is struggling to address the problem of challenging scenarios and speed.

Lane Detection